The overall objective of this projecdt is to develop an integrated methodology for dose reconstruction which is based on computational modelling and experimental methods of retrospective dosimetry and to apply this combined approach to dose asessment for populations and inviduals within areas of the CIS which were contaminated by Chernobyl fall-out.
The completion of a comprehensive study of radiation dose to populations in those areas which were either evacuated or have, more significantly, remained inhabited is of crucial importance to the interpretation of latent health effects.
The quantitative assessment of the health consequences of the Chernobyl accident requires the availabitlity of suitable methods, procesures and techniques of dose reconstruction and retrospective dosimetry. Such assessment is required for people exposed to radiation from nuclides incorporated as external sources or internal sources. This is a complex task requiring knwoledge of a number of factors inclusing : the transport of the released radionuclides via the various pathways in the environment; the assessment of contamination and exposure fields and information on the movements and food consumption of individuals. Mathematical models developed to assess individual exposures dran upon these various types of data.
Consequently, in quantifying the exposure to either populations or individuals, two aspects meriting particular attention are :
an assessment of the quality of the primary data and
the validation of procedures used subsequently to derive estimations of dose to people.
The results of work conducted so far have delineated three clear directions for further developments in techniques for the assessment of dose to populations and individuals which are to be pursued in this project :
the use of electron paramagnetic resonance (EPR) with tooth enamel directly to determine integrated external dose to highly exposed individuals;
the use of luminescence with ceramics to provide determinations of intefrated external dose in populated areas which were not monitored and thus provide benchmark values for modelling;
the use of stochastic models to derive dose estimates for individuals and groups within populations evacuated from, or resident in, contaminated areas, taking into account uncertainties in the parameters used in modelling.
The combined use of these techniques will allow the reconstruction of dose due to external sources of radiation inpopulation groups living within the NIS during and following the accident. This will provide a more complete picture of levels of exposure to the population than has hitherto been possible. The reconstruction of dose due to internal sources will also be the subject of modelling calculations. The intercomparison of results using different methods and assessment of uncertainty will be an integral part of this approach.
Funding SchemeCSC - Cost-sharing contracts
197136 St. Petersburg